RACER-GRASP Reconstruction Code

RACER-GRASP Reconstruction Code

Author: 
Li Feng

Above, a comparison of dynamic constrast enhanced (DCE) liver MR imaging workflows.

(a) In conventional multiphase DCE liver imaging, separate 3D image volumes are acquired in desired contrast-enhancement phases during multiple breath-holds. A bolus timing step is performed before the DCE scan to ensure optimal detectionof desired contrast phases.

(b) In multiphase DCE liver imaging using GRASP, data are continuously acquired under free breathing, and images can be reconstructed with flexible temporal resolutions by grouping a specific number of consecutive spokes as each contrastphase. However, the optimal detection of desired contrast-enhanced phases is not guaranteed, and radiologists must manually selecttheir desired contrast phases.

(c) In multiphase DCE liver imaging using RACER-GRASP, a respiratory motion signal and an aortic contrast enhancement (ACE) signal are extracted from the acquired k-space to guide k-space sorting and image reconstruction. The ACE information can ensure optimaldetection of desired contrast phases.

This package demo demonstrates the reconstruction methods RACER-GRASP as described our paper titled, RACER-GRASP: Respiratory-weighted, aortic contrast enhancement-guided and coil-unstreaking golden-angle radial sparse MRI.

This package is released for academic use only!
If any component in this package is helpful for your research, please cite our paper.

For any further help or information, please contact Li Feng, PhD, at fenglibme@gmail.com.


Related publication:

RACER-GRASP: Respiratory-weighted, aortic contrast enhancement-guided and coil-unstreaking golden-angle radial sparse MRI. Feng L, Huang C, Shanbhogue K, Sodickson DK, Chandarana H, Otazo R. Magn Reson Med. 2018 Jul;80(1):77-89. doi: 10.1002/mrm.27002. Epub 2017 Nov 28.

 

PLEASE NOTE: The software available on this page is provided free of charge and comes without any warranty. CAI²R and the NYU School of Medicine do not take any liability for problems or damage of any kind resulting from the use of the files provided. Operation of the software is solely at the user's own risk. The software developments provided are not medical products and must not be used for making diagnostic decisions.

The software is provided for non-commercial, academic use only. Usage or distribution of the software for commercial purpose is prohibited. All rights belong to the author (Li Feng) and the NYU School of Medicine. If you use the software for academic work, please give credit to the author in publications and cite the related publications.

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We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
 
• The Big George Foundation
• Raymond and Beverly Sackler
• Bernard and Irene Schwartz

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